Cover Image

Operator Learning for Consolidation: An Architectural Comparison for DeepONet Variants

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choi, Yongjin, Liu, Chenying, Macedo, Jorge
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Geophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Differentiable graph neural network simulator for forward and inverse modeling of multi-layered slope system with multiple material properties
by: Choi, Yongjin, et al.
Published: (2025)

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
by: Zhu, Min, et al.
Published: (2023)

Differentiable Graph Neural Network Simulator for the Back-Analysis of Post-Liquefaction Residual Strength from Flow Failure Runout
by: Choi, Yongjin, et al.
Published: (2026)

Inverse analysis of granular flows using differentiable graph neural network simulator
by: Choi, Yongjin, et al.
Published: (2024)

Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting
by: Jafari, Alireza, et al.
Published: (2024)

Ensemble and Mixture-of-Experts DeepONets For Operator Learning
by: Sharma, Ramansh, et al.
Published: (2024)

Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation
by: Zou, Caifeng, et al.
Published: (2026)

Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures
by: Zerafa, Christopher
Published: (2025)

A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering
by: Kumar, Krishna
Published: (2025)

FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning
by: Sojitra, Arth, et al.
Published: (2025)

Reconstructing Historical Climate Fields With Deep Learning
by: Bochow, Nils, et al.
Published: (2023)

Parameter-Efficient Transfer Learning for Microseismic Phase Picking Using a Neural Operator
by: Abdullin, Ayrat, et al.
Published: (2025)

Learning Hamiltonian Density Using DeepONet
by: Xu, Baige, et al.
Published: (2025)

Initial Model Incorporation for Deep Learning FWI: Pretraining or Denormalization?
by: Chen, Ruihua, et al.
Published: (2025)

Deep Learning Forecasts Caldera Collapse Events at Kilauea Volcano
by: McBrearty, Ian W., et al.
Published: (2024)

Uncertainties of Satellite-based Essential Climate Variables from Deep Learning
by: Gou, Junyang, et al.
Published: (2024)

Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
by: Sun, Jing, et al.
Published: (2025)

Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region
by: Loganathan, Parthiban, et al.
Published: (2025)

Ambient Noise Full Waveform Inversion with Neural Operators
by: Zou, Caifeng, et al.
Published: (2025)

WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning
by: Lyu, Dongwei, et al.
Published: (2024)

Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
by: Wang, Nanzhe, et al.
Published: (2024)

Seismic event classification with a lightweight Fourier Neural Operator model
by: Abdullin, Ayrat, et al.
Published: (2025)

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
by: Wang, Feng, et al.
Published: (2025)

Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification
by: Lone, Soban Nasir, et al.
Published: (2024)

Physics-Informed Neural Networks for Predicting Hydrogen Sorption in Geological Formations: Thermodynamically Constrained Deep Learning Integrating Classical Adsorption Theory
by: Nooraiepour, Mohammad, et al.
Published: (2026)

Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
by: Shi, Yaozhong, et al.
Published: (2023)

Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
by: Lehmann, Fanny, et al.
Published: (2023)

Multiple-Input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamics
by: Lehmann, Fanny, et al.
Published: (2024)

Towards Operational Streamflow Forecasting in the Limpopo River Basin using Long Short-Term Memory Networks
by: Tlhomole, James, et al.
Published: (2026)

Seismic Velocity Inversion from Multi-Source Shot Gathers Using Deep Segmentation Networks: Benchmarking U-Net Variants and SeismoLabV3+
by: Hasan, Mahedi
Published: (2025)

Multimodal Atmospheric Super-Resolution With Deep Generative Models
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)

Conformalized Quantum DeepONet Ensembles for Scalable Operator Learning with Distribution-Free Uncertainty
by: Matlia, Purav, et al.
Published: (2026)

Deep operator network for surrogate modeling of poroelasticity with random permeability fields
by: Park, Sangjoon, et al.
Published: (2025)

RECOVAR: Representation Covariances on Deep Latent Spaces for Seismic Event Detection
by: Efe, Onur, et al.
Published: (2024)

BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
by: Li, Lingfeng, et al.
Published: (2024)

Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)
by: Nath, Kamaljyoti, et al.
Published: (2025)

DeepONet Augmented by Randomized Neural Networks for Efficient Operator Learning in PDEs
by: Jiang, Zhaoxi, et al.
Published: (2025)

Seismic Traveltime Tomography with Label-free Learning
by: Wang, Feng, et al.
Published: (2024)

Learning Generative Models for Lumped Rainfall-Runoff Modeling
by: Yang, Yang, et al.
Published: (2023)

Predicting the Geothermal Gradient in Colombia: a Machine Learning Approach
by: Mejía-Fragoso, Juan Camilo, et al.
Published: (2024)